Networks Based Molecular Optical Simulation Platform And Its Acceleration Method

Laser technology makes the application of optical imaging technology wider and wider in modern medicine and biology. With the development of optical imaging technology, it is urgent to accurately understand the transmission process of light within complex biological tissues. Monte Carlo method(MCM) can accurately describe the optical transmission procedure or law in biological tissues, so it is hailed as the golden standard for solving optical transmission problem by researchers. However, the efficiency of MCM is relatively low due to the randomly statistical properties, which definitely hinders the development of MCM in the medical field. Aiming at improving the low simulation efficiency of MCM, an optical molecular imaging simulation platform based on network transport and and its acceleration method is implemented in this thesis.An optical molecular imaging simulation platform based on network transmission was developed to promote the efficiency and to reduce the complexity of the existing optical molecular imaging simulation platform.The platform included sub-front Dynamic Web-Pages, the back-end Monte Carlo simulation server of light transmission and display plug-in. Firstly, the overall platform structure, simulation algorithm, page display and result show were specifically designed and implemented. Secondly, to guarantee the robustness of the simulation platform based on network transmission, a series of test tasks including operation interface, function and compatibility were designed and conducted. Based on two identical physical models, the simulation data obtained by the simulation platform using network transmission was compared with that by the local simulation platform, thus the accuracy of MOSE based on network transmission was validated. Finally,with a comparison between MOSE and its Online Version, the results gave evidence that MOSE Online Version significantly improved the user efficiency, and reduced clients’ burdens.When the platform server of MOSE Online Version is accessed by multi-user and multitask, it may come up with the data congestion and server crash. To handle this problem, this thesis proposes simulation framework of optical transmission with Monte Carlo based on Hadoop. Firstly, the PI computation that is similar to optical transmission Monte Carlo simulation theory is conducted to demonstrate its feasibility in Monte Carlo simulation by Hadoop framework. Secondly, the optical transmission Monte Carlo simulation model is built based on cloud computing. Based on the simulation model, combining the multiple Map Reduce computing cluster based on Hadoop framework with the model feature where light is absorbed according to step length as transmitting in medium, the standard Monte Carlo simulation interface is built. Finally, this program package is led into Map Reduce computing cluster to conducted Monte Carlo simulation. This framework can schedule the simulation task among server clusters, to balance the loading, which improves the efficiency of massive calculation of optical transmission Monte Carlo simulation within server and guarantees the reliability.